Overview

Brought to you by YData

Dataset statistics

Number of variables33
Number of observations172
Missing cells322
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.5 KiB
Average record size in memory264.8 B

Variable types

Text13
Numeric3
Categorical16
DateTime1

Alerts

adaptivetype is highly overall correlated with alttype and 5 other fieldsHigh correlation
alttype is highly overall correlated with adaptivetypeHigh correlation
be is highly overall correlated with id and 1 other fieldsHigh correlation
client_positions is highly overall correlated with adaptivetype and 4 other fieldsHigh correlation
damage is highly overall correlated with client_positions and 2 other fieldsHigh correlation
external_positions is highly overall correlated with adaptivetype and 3 other fieldsHigh correlation
herotype is highly overall correlated with adaptivetype and 6 other fieldsHigh correlation
id is highly overall correlated with beHigh correlation
rangetype is highly overall correlated with client_positions and 4 other fieldsHigh correlation
role is highly overall correlated with adaptivetype and 4 other fieldsHigh correlation
rp is highly overall correlated with beHigh correlation
style is highly overall correlated with adaptivetypeHigh correlation
toughness is highly overall correlated with herotype and 2 other fieldsHigh correlation
resource is highly imbalanced (70.6%) Imbalance
alttype has 28 (16.3%) missing values Missing
resource has 5 (2.9%) missing values Missing
skills has 2 (1.2%) missing values Missing
fullname has 129 (75.0%) missing values Missing
nickname has 158 (91.9%) missing values Missing
Unnamed: 0 has unique values Unique
id has unique values Unique
stats has unique values Unique
skill_q has unique values Unique
skill_e has unique values Unique
style has 5 (2.9%) zeros Zeros

Reproduction

Analysis started2025-03-05 21:26:25.853397
Analysis finished2025-03-05 21:26:27.582589
Duration1.73 second
Software versionydata-profiling vv4.13.0
Download configurationconfig.json

Variables

Unnamed: 0
Text

Unique 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:27.742451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.1569767
Min length2

Characters and Unicode

Total characters1059
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st rowAatrox
2nd rowAhri
3rd rowAkali
4th rowAkshan
5th rowAlistar
ValueCountFrequency (%)
gnar 2
 
1.1%
kled 2
 
1.1%
2
 
1.1%
aatrox 1
 
0.5%
alistar 1
 
0.5%
ambessa 1
 
0.5%
akali 1
 
0.5%
ahri 1
 
0.5%
annie 1
 
0.5%
aphelios 1
 
0.5%
Other values (174) 174
93.0%
2025-03-05T22:26:27.976074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 136
 
12.8%
e 89
 
8.4%
i 89
 
8.4%
n 80
 
7.6%
r 73
 
6.9%
l 51
 
4.8%
o 43
 
4.1%
s 36
 
3.4%
u 30
 
2.8%
t 28
 
2.6%
Other values (45) 404
38.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1059
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 136
 
12.8%
e 89
 
8.4%
i 89
 
8.4%
n 80
 
7.6%
r 73
 
6.9%
l 51
 
4.8%
o 43
 
4.1%
s 36
 
3.4%
u 30
 
2.8%
t 28
 
2.6%
Other values (45) 404
38.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1059
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 136
 
12.8%
e 89
 
8.4%
i 89
 
8.4%
n 80
 
7.6%
r 73
 
6.9%
l 51
 
4.8%
o 43
 
4.1%
s 36
 
3.4%
u 30
 
2.8%
t 28
 
2.6%
Other values (45) 404
38.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1059
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 136
 
12.8%
e 89
 
8.4%
i 89
 
8.4%
n 80
 
7.6%
r 73
 
6.9%
l 51
 
4.8%
o 43
 
4.1%
s 36
 
3.4%
u 30
 
2.8%
t 28
 
2.6%
Other values (45) 404
38.1%

id
Real number (ℝ)

High correlation  Unique 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.72849
Minimum1
Maximum950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:28.040107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.55
Q143.75
median102.5
Q3233.25
95-th percentile880.95
Maximum950
Range949
Interquartile range (IQR)189.5

Descriptive statistics

Standard deviation243.32669
Coefficient of variation (CV)1.2431848
Kurtosis2.6337039
Mean195.72849
Median Absolute Deviation (MAD)67
Skewness1.8946615
Sum33665.3
Variance59207.876
MonotonicityNot monotonic
2025-03-05T22:26:28.115180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266 1
 
0.6%
103 1
 
0.6%
84 1
 
0.6%
166 1
 
0.6%
12 1
 
0.6%
799 1
 
0.6%
32 1
 
0.6%
34 1
 
0.6%
1 1
 
0.6%
523 1
 
0.6%
Other values (162) 162
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
950 1
0.6%
910 1
0.6%
902 1
0.6%
901 1
0.6%
897 1
0.6%
895 1
0.6%
893 1
0.6%
888 1
0.6%
887 1
0.6%
876 1
0.6%
Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:28.260856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.9186047
Min length2

Characters and Unicode

Total characters1018
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)98.8%

Sample

1st rowAatrox
2nd rowAhri
3rd rowAkali
4th rowAkshan
5th rowAlistar
ValueCountFrequency (%)
kled 2
 
1.2%
ahri 1
 
0.6%
aatrox 1
 
0.6%
akshan 1
 
0.6%
alistar 1
 
0.6%
ambessa 1
 
0.6%
amumu 1
 
0.6%
anivia 1
 
0.6%
annie 1
 
0.6%
aphelios 1
 
0.6%
Other values (161) 161
93.6%
2025-03-05T22:26:28.450403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 132
 
13.0%
i 90
 
8.8%
e 89
 
8.7%
n 81
 
8.0%
r 72
 
7.1%
l 47
 
4.6%
o 43
 
4.2%
s 36
 
3.5%
t 28
 
2.8%
u 28
 
2.8%
Other values (41) 372
36.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1018
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 132
 
13.0%
i 90
 
8.8%
e 89
 
8.7%
n 81
 
8.0%
r 72
 
7.1%
l 47
 
4.6%
o 43
 
4.2%
s 36
 
3.5%
t 28
 
2.8%
u 28
 
2.8%
Other values (41) 372
36.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1018
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 132
 
13.0%
i 90
 
8.8%
e 89
 
8.7%
n 81
 
8.0%
r 72
 
7.1%
l 47
 
4.6%
o 43
 
4.2%
s 36
 
3.5%
t 28
 
2.8%
u 28
 
2.8%
Other values (41) 372
36.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1018
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 132
 
13.0%
i 90
 
8.8%
e 89
 
8.7%
n 81
 
8.0%
r 72
 
7.1%
l 47
 
4.6%
o 43
 
4.2%
s 36
 
3.5%
t 28
 
2.8%
u 28
 
2.8%
Other values (41) 372
36.5%

title
Text

Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:28.571753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length28
Median length23
Mean length18.139535
Min length8

Characters and Unicode

Total characters3120
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)98.8%

Sample

1st rowthe Darkin Blade
2nd rowthe Nine-Tailed Fox
3rd rowthe Rogue Assassin
4th rowthe Rogue Sentinel
5th rowthe Minotaur
ValueCountFrequency (%)
the 182
33.0%
of 44
 
8.0%
void 7
 
1.3%
king 5
 
0.9%
shadow 4
 
0.7%
master 3
 
0.5%
demacia 3
 
0.5%
sands 3
 
0.5%
blade 3
 
0.5%
zaun 3
 
0.5%
Other values (269) 295
53.4%
2025-03-05T22:26:28.767577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 434
13.9%
380
12.2%
t 280
 
9.0%
h 233
 
7.5%
r 191
 
6.1%
a 170
 
5.4%
o 170
 
5.4%
n 146
 
4.7%
i 126
 
4.0%
s 103
 
3.3%
Other values (43) 887
28.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3120
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 434
13.9%
380
12.2%
t 280
 
9.0%
h 233
 
7.5%
r 191
 
6.1%
a 170
 
5.4%
o 170
 
5.4%
n 146
 
4.7%
i 126
 
4.0%
s 103
 
3.3%
Other values (43) 887
28.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3120
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 434
13.9%
380
12.2%
t 280
 
9.0%
h 233
 
7.5%
r 191
 
6.1%
a 170
 
5.4%
o 170
 
5.4%
n 146
 
4.7%
i 126
 
4.0%
s 103
 
3.3%
Other values (43) 887
28.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3120
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 434
13.9%
380
12.2%
t 280
 
9.0%
h 233
 
7.5%
r 191
 
6.1%
a 170
 
5.4%
o 170
 
5.4%
n 146
 
4.7%
i 126
 
4.0%
s 103
 
3.3%
Other values (43) 887
28.4%

difficulty
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2
93 
1
51 
3
28 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters172
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row1

Common Values

ValueCountFrequency (%)
2 93
54.1%
1 51
29.7%
3 28
 
16.3%

Length

2025-03-05T22:26:28.822647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:28.866998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2 93
54.1%
1 51
29.7%
3 28
 
16.3%

Most occurring characters

ValueCountFrequency (%)
2 93
54.1%
1 51
29.7%
3 28
 
16.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 93
54.1%
1 51
29.7%
3 28
 
16.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 93
54.1%
1 51
29.7%
3 28
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 93
54.1%
1 51
29.7%
3 28
 
16.3%

herotype
Categorical

High correlation 

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Fighter
49 
Mage
37 
Marksman
28 
Tank
24 
Assassin
17 

Length

Max length8
Median length7
Mean length6.1976744
Min length4

Characters and Unicode

Total characters1066
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFighter
2nd rowMage
3rd rowAssassin
4th rowMarksman
5th rowTank

Common Values

ValueCountFrequency (%)
Fighter 49
28.5%
Mage 37
21.5%
Marksman 28
16.3%
Tank 24
14.0%
Assassin 17
 
9.9%
Support 17
 
9.9%

Length

2025-03-05T22:26:28.921144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:28.972427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
fighter 49
28.5%
mage 37
21.5%
marksman 28
16.3%
tank 24
14.0%
assassin 17
 
9.9%
support 17
 
9.9%

Most occurring characters

ValueCountFrequency (%)
a 134
12.6%
s 96
 
9.0%
r 94
 
8.8%
g 86
 
8.1%
e 86
 
8.1%
n 69
 
6.5%
i 66
 
6.2%
t 66
 
6.2%
M 65
 
6.1%
k 52
 
4.9%
Other values (9) 252
23.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1066
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 134
12.6%
s 96
 
9.0%
r 94
 
8.8%
g 86
 
8.1%
e 86
 
8.1%
n 69
 
6.5%
i 66
 
6.2%
t 66
 
6.2%
M 65
 
6.1%
k 52
 
4.9%
Other values (9) 252
23.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1066
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 134
12.6%
s 96
 
9.0%
r 94
 
8.8%
g 86
 
8.1%
e 86
 
8.1%
n 69
 
6.5%
i 66
 
6.2%
t 66
 
6.2%
M 65
 
6.1%
k 52
 
4.9%
Other values (9) 252
23.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1066
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 134
12.6%
s 96
 
9.0%
r 94
 
8.8%
g 86
 
8.1%
e 86
 
8.1%
n 69
 
6.5%
i 66
 
6.2%
t 66
 
6.2%
M 65
 
6.1%
k 52
 
4.9%
Other values (9) 252
23.6%

alttype
Categorical

High correlation  Missing 

Distinct6
Distinct (%)4.2%
Missing28
Missing (%)16.3%
Memory size1.5 KiB
Mage
38 
Assassin
31 
Support
28 
Tank
25 
Fighter
17 

Length

Max length8
Median length7
Mean length5.9375
Min length4

Characters and Unicode

Total characters855
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTank
2nd rowAssassin
3rd rowAssassin
4th rowSupport
5th rowAssassin

Common Values

ValueCountFrequency (%)
Mage 38
22.1%
Assassin 31
18.0%
Support 28
16.3%
Tank 25
14.5%
Fighter 17
9.9%
Marksman 5
 
2.9%
(Missing) 28
16.3%

Length

2025-03-05T22:26:29.040072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:29.088413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
mage 38
26.4%
assassin 31
21.5%
support 28
19.4%
tank 25
17.4%
fighter 17
11.8%
marksman 5
 
3.5%

Most occurring characters

ValueCountFrequency (%)
s 129
15.1%
a 104
12.2%
n 61
 
7.1%
p 56
 
6.5%
g 55
 
6.4%
e 55
 
6.4%
r 50
 
5.8%
i 48
 
5.6%
t 45
 
5.3%
M 43
 
5.0%
Other values (9) 209
24.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 855
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 129
15.1%
a 104
12.2%
n 61
 
7.1%
p 56
 
6.5%
g 55
 
6.4%
e 55
 
6.4%
r 50
 
5.8%
i 48
 
5.6%
t 45
 
5.3%
M 43
 
5.0%
Other values (9) 209
24.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 855
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 129
15.1%
a 104
12.2%
n 61
 
7.1%
p 56
 
6.5%
g 55
 
6.4%
e 55
 
6.4%
r 50
 
5.8%
i 48
 
5.6%
t 45
 
5.3%
M 43
 
5.0%
Other values (9) 209
24.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 855
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 129
15.1%
a 104
12.2%
n 61
 
7.1%
p 56
 
6.5%
g 55
 
6.4%
e 55
 
6.4%
r 50
 
5.8%
i 48
 
5.6%
t 45
 
5.3%
M 43
 
5.0%
Other values (9) 209
24.4%

resource
Categorical

Imbalance  Missing 

Distinct14
Distinct (%)8.4%
Missing5
Missing (%)2.9%
Memory size1.5 KiB
Mana
142 
Energy
 
6
Rage
 
3
Fury
 
3
Courage
 
2
Other values (9)
 
11

Length

Max length12
Median length4
Mean length4.2634731
Min length4

Characters and Unicode

Total characters712
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)4.2%

Sample

1st rowBlood Well
2nd rowMana
3rd rowEnergy
4th rowMana
5th rowMana

Common Values

ValueCountFrequency (%)
Mana 142
82.6%
Energy 6
 
3.5%
Rage 3
 
1.7%
Fury 3
 
1.7%
Courage 2
 
1.2%
Health 2
 
1.2%
Flow 2
 
1.2%
Blood Well 1
 
0.6%
Frenzy 1
 
0.6%
Shield 1
 
0.6%
Other values (4) 4
 
2.3%
(Missing) 5
 
2.9%

Length

2025-03-05T22:26:29.162560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mana 142
84.0%
energy 6
 
3.6%
rage 3
 
1.8%
fury 3
 
1.8%
courage 2
 
1.2%
health 2
 
1.2%
flow 2
 
1.2%
blood 1
 
0.6%
well 1
 
0.6%
frenzy 1
 
0.6%
Other values (6) 6
 
3.6%

Most occurring characters

ValueCountFrequency (%)
a 292
41.0%
n 150
21.1%
M 142
19.9%
e 18
 
2.5%
r 15
 
2.1%
y 11
 
1.5%
g 11
 
1.5%
o 8
 
1.1%
l 8
 
1.1%
F 7
 
1.0%
Other values (19) 50
 
7.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 712
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 292
41.0%
n 150
21.1%
M 142
19.9%
e 18
 
2.5%
r 15
 
2.1%
y 11
 
1.5%
g 11
 
1.5%
o 8
 
1.1%
l 8
 
1.1%
F 7
 
1.0%
Other values (19) 50
 
7.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 712
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 292
41.0%
n 150
21.1%
M 142
19.9%
e 18
 
2.5%
r 15
 
2.1%
y 11
 
1.5%
g 11
 
1.5%
o 8
 
1.1%
l 8
 
1.1%
F 7
 
1.0%
Other values (19) 50
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 712
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 292
41.0%
n 150
21.1%
M 142
19.9%
e 18
 
2.5%
r 15
 
2.1%
y 11
 
1.5%
g 11
 
1.5%
o 8
 
1.1%
l 8
 
1.1%
F 7
 
1.0%
Other values (19) 50
 
7.0%

stats
Text

Unique 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:29.345095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length871
Median length614.5
Mean length582.94767
Min length440

Characters and Unicode

Total characters100267
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st row{'hp_base': 650, 'hp_lvl': 114, 'mp_base': 0, 'mp_lvl': 0, 'arm_base': 38, 'arm_lvl': 4.8, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 3, 'hp5_lvl': 0.5, 'mp5_base': 0, 'mp5_lvl': 0, 'dam_base': 60, 'dam_lvl': 5, 'as_base': 0.651, 'as_lvl': 2.5, 'range': 175, 'ms': 345, 'acquisition_radius': 475, 'selection_height': 180, 'selection_radius': 135, 'pathing_radius': 35, 'as_ratio': 0.651000022888183, 'attack_cast_time': 0.300000011920928, 'attack_total_time': 1.51999998092651, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 1}, 'urf': {'dmg_dealt': 1.15, 'dmg_taken': 0.7}}
2nd row{'hp_base': 590, 'hp_lvl': 104, 'mp_base': 418, 'mp_lvl': 25, 'arm_base': 21, 'arm_lvl': 4.7, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 2.5, 'hp5_lvl': 0.6, 'mp5_base': 8, 'mp5_lvl': 0.8, 'dam_base': 53, 'dam_lvl': 3, 'as_base': 0.668, 'as_lvl': 2.2, 'range': 550, 'ms': 330, 'acquisition_radius': 525, 'selection_height': 135, 'selection_radius': 100, 'pathing_radius': 35, 'as_ratio': 0.625, 'attack_delay_offset': -0.1, 'missile_speed': 1750, 'aram': {'dmg_dealt': 0.97, 'dmg_taken': 1, 'healing': 0.9}, 'urf': {'dmg_dealt': 0.9, 'dmg_taken': 1.05}, 'usb': {'dmg_taken': 0.95}}
3rd row{'hp_base': 600, 'hp_lvl': 119, 'mp_base': 200, 'mp_lvl': 0, 'arm_base': 23, 'arm_lvl': 4.7, 'mr_base': 37, 'mr_lvl': 2.05, 'hp5_base': 9, 'hp5_lvl': 0.9, 'mp5_base': 50, 'mp5_lvl': 0, 'dam_base': 62, 'dam_lvl': 3.3, 'as_base': 0.625, 'as_lvl': 3.2, 'range': 125, 'ms': 345, 'acquisition_radius': 400, 'selection_height': 138.88890075683594, 'selection_radius': 100, 'pathing_radius': 30, 'as_ratio': 0.625, 'attack_delay_offset': -0.160999998450279, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 0.9, 'energyregen_mod': 1.2, 'tenacity': 1.2}, 'nb': {'dmg_taken': 0.9, 'ability_haste': 20}, 'ofa': {'dmg_dealt': 1.05, 'dmg_taken': 0.97}, 'urf': {'dmg_taken': 0.9}}
4th row{'hp_base': 630, 'hp_lvl': 107, 'mp_base': 350, 'mp_lvl': 40, 'arm_base': 26, 'arm_lvl': 4.7, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 3.75, 'hp5_lvl': 0.65, 'mp5_base': 8.2, 'mp5_lvl': 0.7, 'dam_base': 52, 'dam_lvl': 3, 'as_base': 0.638, 'as_lvl': 4, 'range': 500, 'ms': 330, 'acquisition_radius': 750, 'selection_height': 100, 'selection_radius': 100, 'pathing_radius': 35, 'as_ratio': 0.4, 'attack_delay_offset': -0.1667, 'missile_speed': 2000, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 0.95}, 'urf': {'dmg_dealt': 1.05, 'dmg_taken': 1}}
5th row{'hp_base': 685, 'hp_lvl': 120, 'mp_base': 350, 'mp_lvl': 40, 'arm_base': 47, 'arm_lvl': 4.7, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 8.5, 'hp5_lvl': 0.85, 'mp5_base': 8.5, 'mp5_lvl': 0.8, 'dam_base': 62, 'dam_lvl': 3.75, 'as_base': 0.625, 'as_lvl': 2.125, 'range': 125, 'ms': 330, 'acquisition_radius': 600, 'selection_height': 170, 'selection_radius': 140, 'pathing_radius': 50, 'gameplay_radius': 80, 'as_ratio': 0.625, 'aram': {'dmg_dealt': 0.95, 'dmg_taken': 1.05, 'healing': 0.8}, 'ofa': {'dmg_dealt': 1.05, 'dmg_taken': 0.97}, 'usb': {'dmg_dealt': 0.95, 'dmg_taken': 1}, 'urf': {'dmg_dealt': 1, 'dmg_taken': 0.95}}
ValueCountFrequency (%)
dmg_dealt 359
 
3.3%
dmg_taken 342
 
3.2%
as_lvl 176
 
1.6%
hp_lvl 176
 
1.6%
arm_lvl 175
 
1.6%
dam_lvl 174
 
1.6%
hp_base 174
 
1.6%
1.05 174
 
1.6%
arm_base 173
 
1.6%
as_ratio 172
 
1.6%
Other values (633) 8660
80.5%
2025-03-05T22:26:29.607780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 11176
 
11.1%
10583
 
10.6%
a 5833
 
5.8%
: 5588
 
5.6%
, 4995
 
5.0%
_ 4945
 
4.9%
0 4018
 
4.0%
l 3903
 
3.9%
e 3886
 
3.9%
s 3645
 
3.6%
Other values (32) 41695
41.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 100267
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 11176
 
11.1%
10583
 
10.6%
a 5833
 
5.8%
: 5588
 
5.6%
, 4995
 
5.0%
_ 4945
 
4.9%
0 4018
 
4.0%
l 3903
 
3.9%
e 3886
 
3.9%
s 3645
 
3.6%
Other values (32) 41695
41.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 100267
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 11176
 
11.1%
10583
 
10.6%
a 5833
 
5.8%
: 5588
 
5.6%
, 4995
 
5.0%
_ 4945
 
4.9%
0 4018
 
4.0%
l 3903
 
3.9%
e 3886
 
3.9%
s 3645
 
3.6%
Other values (32) 41695
41.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 100267
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 11176
 
11.1%
10583
 
10.6%
a 5833
 
5.8%
: 5588
 
5.6%
, 4995
 
5.0%
_ 4945
 
4.9%
0 4018
 
4.0%
l 3903
 
3.9%
e 3886
 
3.9%
s 3645
 
3.6%
Other values (32) 41695
41.6%

rangetype
Categorical

High correlation 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Melee
91 
Ranged
81 

Length

Max length6
Median length5
Mean length5.4709302
Min length5

Characters and Unicode

Total characters941
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMelee
2nd rowRanged
3rd rowMelee
4th rowRanged
5th rowMelee

Common Values

ValueCountFrequency (%)
Melee 91
52.9%
Ranged 81
47.1%

Length

2025-03-05T22:26:29.661252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:29.695483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
melee 91
52.9%
ranged 81
47.1%

Most occurring characters

ValueCountFrequency (%)
e 354
37.6%
M 91
 
9.7%
l 91
 
9.7%
R 81
 
8.6%
a 81
 
8.6%
n 81
 
8.6%
g 81
 
8.6%
d 81
 
8.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 941
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 354
37.6%
M 91
 
9.7%
l 91
 
9.7%
R 81
 
8.6%
a 81
 
8.6%
n 81
 
8.6%
g 81
 
8.6%
d 81
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 941
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 354
37.6%
M 91
 
9.7%
l 91
 
9.7%
R 81
 
8.6%
a 81
 
8.6%
n 81
 
8.6%
g 81
 
8.6%
d 81
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 941
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 354
37.6%
M 91
 
9.7%
l 91
 
9.7%
R 81
 
8.6%
a 81
 
8.6%
n 81
 
8.6%
g 81
 
8.6%
d 81
 
8.6%

date
Date

Distinct141
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2009-02-21 00:00:00
Maximum2025-01-23 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-05T22:26:29.749408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:29.824624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

patch
Text

Distinct141
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:30.062025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length20
Median length19
Mean length8.8372093
Min length4

Characters and Unicode

Total characters1520
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)74.4%

Sample

1st rowV3.8
2nd rowV1.0.0.131
3rd rowV1.0.0.85
4th rowV11.15
5th rowAlpha Week 2
ValueCountFrequency (%)
alpha 17
 
7.2%
week 17
 
7.2%
2 17
 
7.2%
patch 10
 
4.2%
2009 10
 
4.2%
v0.9.22.16 4
 
1.7%
may 3
 
1.3%
1 3
 
1.3%
june 3
 
1.3%
v1.0.0.131 2
 
0.8%
Other values (139) 150
63.6%
2025-03-05T22:26:30.269619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 312
20.5%
1 215
14.1%
0 207
13.6%
V 145
9.5%
2 104
 
6.8%
64
 
4.2%
9 40
 
2.6%
3 38
 
2.5%
4 37
 
2.4%
e 37
 
2.4%
Other values (24) 321
21.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1520
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 312
20.5%
1 215
14.1%
0 207
13.6%
V 145
9.5%
2 104
 
6.8%
64
 
4.2%
9 40
 
2.6%
3 38
 
2.5%
4 37
 
2.4%
e 37
 
2.4%
Other values (24) 321
21.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1520
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 312
20.5%
1 215
14.1%
0 207
13.6%
V 145
9.5%
2 104
 
6.8%
64
 
4.2%
9 40
 
2.6%
3 38
 
2.5%
4 37
 
2.4%
e 37
 
2.4%
Other values (24) 321
21.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1520
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 312
20.5%
1 215
14.1%
0 207
13.6%
V 145
9.5%
2 104
 
6.8%
64
 
4.2%
9 40
 
2.6%
3 38
 
2.5%
4 37
 
2.4%
e 37
 
2.4%
Other values (24) 321
21.1%

changes
Categorical

Distinct20
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
V25.S1.3
37 
V14.24
26 
V25.S1.2
17 
V14.21
16 
V14.22
12 
Other values (15)
64 

Length

Max length8
Median length6
Mean length6.6686047
Min length5

Characters and Unicode

Total characters1147
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.3%

Sample

1st rowV25.S1.3
2nd rowV25.S1.2
3rd rowV14.18
4th rowV14.22
5th rowV14.16

Common Values

ValueCountFrequency (%)
V25.S1.3 37
21.5%
V14.24 26
15.1%
V25.S1.2 17
9.9%
V14.21 16
9.3%
V14.22 12
 
7.0%
V14.9 11
 
6.4%
V14.20 10
 
5.8%
V25.S1.1 10
 
5.8%
V14.18 7
 
4.1%
V14.23 7
 
4.1%
Other values (10) 19
11.0%

Length

2025-03-05T22:26:30.327546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
v25.s1.3 37
21.5%
v14.24 26
15.1%
v25.s1.2 17
9.9%
v14.21 16
9.3%
v14.22 12
 
7.0%
v14.9 11
 
6.4%
v14.20 10
 
5.8%
v25.s1.1 10
 
5.8%
v14.18 7
 
4.1%
v14.23 7
 
4.1%
Other values (10) 19
11.0%

Most occurring characters

ValueCountFrequency (%)
. 236
20.6%
1 222
19.4%
V 172
15.0%
2 167
14.6%
4 135
11.8%
5 67
 
5.8%
S 64
 
5.6%
3 46
 
4.0%
9 13
 
1.1%
0 13
 
1.1%
Other values (3) 12
 
1.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1147
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 236
20.6%
1 222
19.4%
V 172
15.0%
2 167
14.6%
4 135
11.8%
5 67
 
5.8%
S 64
 
5.6%
3 46
 
4.0%
9 13
 
1.1%
0 13
 
1.1%
Other values (3) 12
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1147
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 236
20.6%
1 222
19.4%
V 172
15.0%
2 167
14.6%
4 135
11.8%
5 67
 
5.8%
S 64
 
5.6%
3 46
 
4.0%
9 13
 
1.1%
0 13
 
1.1%
Other values (3) 12
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1147
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 236
20.6%
1 222
19.4%
V 172
15.0%
2 167
14.6%
4 135
11.8%
5 67
 
5.8%
S 64
 
5.6%
3 46
 
4.0%
9 13
 
1.1%
0 13
 
1.1%
Other values (3) 12
 
1.0%

role
Categorical

High correlation 

Distinct28
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
{'Marksman'}
21 
{'Vanguard'}
16 
{'Diver'}
15 
{'Juggernaut'}
14 
{'Specialist'}
14 
Other values (23)
92 

Length

Max length26
Median length25
Mean length13.19186
Min length9

Characters and Unicode

Total characters2269
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)7.6%

Sample

1st row{'Juggernaut'}
2nd row{'Burst'}
3rd row{'Assassin'}
4th row{'Marksman', 'Assassin'}
5th row{'Vanguard'}

Common Values

ValueCountFrequency (%)
{'Marksman'} 21
12.2%
{'Vanguard'} 16
9.3%
{'Diver'} 15
8.7%
{'Juggernaut'} 14
8.1%
{'Specialist'} 14
8.1%
{'Skirmisher'} 14
8.1%
{'Assassin'} 13
 
7.6%
{'Burst'} 12
 
7.0%
{'Battlemage'} 11
 
6.4%
{'Enchanter'} 8
 
4.7%
Other values (18) 34
19.8%

Length

2025-03-05T22:26:30.388987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
marksman 25
13.2%
assassin 19
10.1%
diver 18
9.5%
skirmisher 18
9.5%
burst 18
9.5%
vanguard 16
8.5%
juggernaut 14
7.4%
specialist 14
7.4%
enchanter 12
6.3%
battlemage 11
5.8%
Other values (3) 24
12.7%

Most occurring characters

ValueCountFrequency (%)
' 378
16.7%
a 180
 
7.9%
{ 172
 
7.6%
} 172
 
7.6%
r 170
 
7.5%
s 151
 
6.7%
e 122
 
5.4%
i 108
 
4.8%
n 105
 
4.6%
t 97
 
4.3%
Other values (23) 614
27.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2269
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 378
16.7%
a 180
 
7.9%
{ 172
 
7.6%
} 172
 
7.6%
r 170
 
7.5%
s 151
 
6.7%
e 122
 
5.4%
i 108
 
4.8%
n 105
 
4.6%
t 97
 
4.3%
Other values (23) 614
27.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2269
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 378
16.7%
a 180
 
7.9%
{ 172
 
7.6%
} 172
 
7.6%
r 170
 
7.5%
s 151
 
6.7%
e 122
 
5.4%
i 108
 
4.8%
n 105
 
4.6%
t 97
 
4.3%
Other values (23) 614
27.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2269
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 378
16.7%
a 180
 
7.9%
{ 172
 
7.6%
} 172
 
7.6%
r 170
 
7.5%
s 151
 
6.7%
e 122
 
5.4%
i 108
 
4.8%
n 105
 
4.6%
t 97
 
4.3%
Other values (23) 614
27.1%

client_positions
Categorical

High correlation 

Distinct14
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
{'Top'}
39 
{'Jungle'}
34 
{'Middle'}
28 
{'Support'}
26 
{'Bottom'}
22 
Other values (9)
23 

Length

Max length27
Median length21
Mean length10.755814
Min length7

Characters and Unicode

Total characters1850
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.3%

Sample

1st row{'Top'}
2nd row{'Middle'}
3rd row{'Top', 'Middle'}
4th row{'Middle'}
5th row{'Support'}

Common Values

ValueCountFrequency (%)
{'Top'} 39
22.7%
{'Jungle'} 34
19.8%
{'Middle'} 28
16.3%
{'Support'} 26
15.1%
{'Bottom'} 22
12.8%
{'Support', 'Middle'} 6
 
3.5%
{'Top', 'Middle'} 4
 
2.3%
{'Jungle', 'Top'} 4
 
2.3%
{'Support', 'Bottom'} 3
 
1.7%
{'Jungle', 'Middle'} 2
 
1.2%
Other values (4) 4
 
2.3%

Length

2025-03-05T22:26:30.454036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
top 49
25.0%
middle 42
21.4%
jungle 41
20.9%
support 37
18.9%
bottom 27
13.8%

Most occurring characters

ValueCountFrequency (%)
' 392
21.2%
{ 172
 
9.3%
} 172
 
9.3%
o 140
 
7.6%
p 123
 
6.6%
t 91
 
4.9%
d 84
 
4.5%
e 83
 
4.5%
l 83
 
4.5%
u 78
 
4.2%
Other values (12) 432
23.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1850
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 392
21.2%
{ 172
 
9.3%
} 172
 
9.3%
o 140
 
7.6%
p 123
 
6.6%
t 91
 
4.9%
d 84
 
4.5%
e 83
 
4.5%
l 83
 
4.5%
u 78
 
4.2%
Other values (12) 432
23.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1850
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 392
21.2%
{ 172
 
9.3%
} 172
 
9.3%
o 140
 
7.6%
p 123
 
6.6%
t 91
 
4.9%
d 84
 
4.5%
e 83
 
4.5%
l 83
 
4.5%
u 78
 
4.2%
Other values (12) 432
23.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1850
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 392
21.2%
{ 172
 
9.3%
} 172
 
9.3%
o 140
 
7.6%
p 123
 
6.6%
t 91
 
4.9%
d 84
 
4.5%
e 83
 
4.5%
l 83
 
4.5%
u 78
 
4.2%
Other values (12) 432
23.4%

external_positions
Categorical

High correlation 

Distinct20
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
{'Top'}
30 
{'Jungle'}
27 
{'Middle'}
22 
{'Support'}
21 
{'Bottom'}
17 
Other values (15)
55 

Length

Max length38
Median length31
Mean length13.110465
Min length7

Characters and Unicode

Total characters2255
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.3%

Sample

1st row{'Top'}
2nd row{'Middle'}
3rd row{'Top', 'Middle'}
4th row{'Middle'}
5th row{'Support'}

Common Values

ValueCountFrequency (%)
{'Top'} 30
17.4%
{'Jungle'} 27
15.7%
{'Middle'} 22
12.8%
{'Support'} 21
12.2%
{'Bottom'} 17
9.9%
{'Support', 'Middle'} 10
 
5.8%
{'Jungle', 'Top'} 9
 
5.2%
{'Top', 'Middle'} 8
 
4.7%
{'Jungle', 'Middle'} 4
 
2.3%
{'Support', 'Bottom'} 4
 
2.3%
Other values (10) 20
11.6%

Length

2025-03-05T22:26:30.514998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
top 61
25.5%
middle 55
23.0%
jungle 48
20.1%
support 48
20.1%
bottom 27
11.3%

Most occurring characters

ValueCountFrequency (%)
' 478
21.2%
{ 172
 
7.6%
} 172
 
7.6%
o 163
 
7.2%
p 157
 
7.0%
d 110
 
4.9%
l 103
 
4.6%
e 103
 
4.6%
t 102
 
4.5%
u 96
 
4.3%
Other values (12) 599
26.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2255
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 478
21.2%
{ 172
 
7.6%
} 172
 
7.6%
o 163
 
7.2%
p 157
 
7.0%
d 110
 
4.9%
l 103
 
4.6%
e 103
 
4.6%
t 102
 
4.5%
u 96
 
4.3%
Other values (12) 599
26.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2255
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 478
21.2%
{ 172
 
7.6%
} 172
 
7.6%
o 163
 
7.2%
p 157
 
7.0%
d 110
 
4.9%
l 103
 
4.6%
e 103
 
4.6%
t 102
 
4.5%
u 96
 
4.3%
Other values (12) 599
26.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2255
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 478
21.2%
{ 172
 
7.6%
} 172
 
7.6%
o 163
 
7.2%
p 157
 
7.0%
d 110
 
4.9%
l 103
 
4.6%
e 103
 
4.6%
t 102
 
4.5%
u 96
 
4.3%
Other values (12) 599
26.6%

damage
Categorical

High correlation 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
100 
2
52 
1
20 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters172
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 100
58.1%
2 52
30.2%
1 20
 
11.6%

Length

2025-03-05T22:26:30.568383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:30.607183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
3 100
58.1%
2 52
30.2%
1 20
 
11.6%

Most occurring characters

ValueCountFrequency (%)
3 100
58.1%
2 52
30.2%
1 20
 
11.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 100
58.1%
2 52
30.2%
1 20
 
11.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 100
58.1%
2 52
30.2%
1 20
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 100
58.1%
2 52
30.2%
1 20
 
11.6%

toughness
Categorical

High correlation 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
95 
2
48 
3
29 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters172
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 95
55.2%
2 48
27.9%
3 29
 
16.9%

Length

2025-03-05T22:26:30.655572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:30.693926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 95
55.2%
2 48
27.9%
3 29
 
16.9%

Most occurring characters

ValueCountFrequency (%)
1 95
55.2%
2 48
27.9%
3 29
 
16.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 95
55.2%
2 48
27.9%
3 29
 
16.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 95
55.2%
2 48
27.9%
3 29
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 95
55.2%
2 48
27.9%
3 29
 
16.9%

control
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2
83 
1
45 
3
44 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters172
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
2 83
48.3%
1 45
26.2%
3 44
25.6%

Length

2025-03-05T22:26:30.742867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:30.780211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2 83
48.3%
1 45
26.2%
3 44
25.6%

Most occurring characters

ValueCountFrequency (%)
2 83
48.3%
1 45
26.2%
3 44
25.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 83
48.3%
1 45
26.2%
3 44
25.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 83
48.3%
1 45
26.2%
3 44
25.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 83
48.3%
1 45
26.2%
3 44
25.6%

mobility
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
74 
2
60 
3
38 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters172
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 74
43.0%
2 60
34.9%
3 38
22.1%

Length

2025-03-05T22:26:30.830221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:30.868455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 74
43.0%
2 60
34.9%
3 38
22.1%

Most occurring characters

ValueCountFrequency (%)
1 74
43.0%
2 60
34.9%
3 38
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 74
43.0%
2 60
34.9%
3 38
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 74
43.0%
2 60
34.9%
3 38
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 74
43.0%
2 60
34.9%
3 38
22.1%

utility
Categorical

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
108 
2
47 
3
16 
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters172
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 108
62.8%
2 47
27.3%
3 16
 
9.3%
0 1
 
0.6%

Length

2025-03-05T22:26:30.917439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:30.956768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 108
62.8%
2 47
27.3%
3 16
 
9.3%
0 1
 
0.6%

Most occurring characters

ValueCountFrequency (%)
1 108
62.8%
2 47
27.3%
3 16
 
9.3%
0 1
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 108
62.8%
2 47
27.3%
3 16
 
9.3%
0 1
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 108
62.8%
2 47
27.3%
3 16
 
9.3%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 172
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 108
62.8%
2 47
27.3%
3 16
 
9.3%
0 1
 
0.6%

style
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.686047
Minimum0
Maximum100
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:31.003678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q130
median65
Q390
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)60

Descriptive statistics

Standard deviation32.094437
Coefficient of variation (CV)0.53772094
Kurtosis-1.259219
Mean59.686047
Median Absolute Deviation (MAD)30
Skewness-0.26168045
Sum10266
Variance1030.0529
MonotonicityNot monotonic
2025-03-05T22:26:31.061374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
100 34
19.8%
90 18
10.5%
20 15
8.7%
65 15
8.7%
30 15
8.7%
75 13
 
7.6%
10 13
 
7.6%
55 12
 
7.0%
45 10
 
5.8%
80 8
 
4.7%
Other values (9) 19
11.0%
ValueCountFrequency (%)
0 5
 
2.9%
1 1
 
0.6%
10 13
7.6%
20 15
8.7%
25 1
 
0.6%
30 15
8.7%
35 3
 
1.7%
40 2
 
1.2%
45 10
5.8%
50 2
 
1.2%
ValueCountFrequency (%)
100 34
19.8%
90 18
10.5%
85 1
 
0.6%
80 8
 
4.7%
75 13
 
7.6%
70 3
 
1.7%
65 15
8.7%
60 1
 
0.6%
55 12
 
7.0%
50 2
 
1.2%

adaptivetype
Categorical

High correlation 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Physical
92 
Magic
80 

Length

Max length8
Median length8
Mean length6.6046512
Min length5

Characters and Unicode

Total characters1136
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPhysical
2nd rowMagic
3rd rowPhysical
4th rowPhysical
5th rowMagic

Common Values

ValueCountFrequency (%)
Physical 92
53.5%
Magic 80
46.5%

Length

2025-03-05T22:26:31.118390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:31.153236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
physical 92
53.5%
magic 80
46.5%

Most occurring characters

ValueCountFrequency (%)
i 172
15.1%
c 172
15.1%
a 172
15.1%
P 92
8.1%
h 92
8.1%
s 92
8.1%
y 92
8.1%
l 92
8.1%
M 80
7.0%
g 80
7.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1136
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 172
15.1%
c 172
15.1%
a 172
15.1%
P 92
8.1%
h 92
8.1%
s 92
8.1%
y 92
8.1%
l 92
8.1%
M 80
7.0%
g 80
7.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1136
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 172
15.1%
c 172
15.1%
a 172
15.1%
P 92
8.1%
h 92
8.1%
s 92
8.1%
y 92
8.1%
l 92
8.1%
M 80
7.0%
g 80
7.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1136
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 172
15.1%
c 172
15.1%
a 172
15.1%
P 92
8.1%
h 92
8.1%
s 92
8.1%
y 92
8.1%
l 92
8.1%
M 80
7.0%
g 80
7.0%

be
Real number (ℝ)

High correlation 

Distinct8
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3229.8547
Minimum450
Maximum7800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:31.186514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum450
5-th percentile450
Q11350
median3150
Q34800
95-th percentile5475
Maximum7800
Range7350
Interquartile range (IQR)3450

Descriptive statistics

Standard deviation1784.8292
Coefficient of variation (CV)0.55260357
Kurtosis-0.89171201
Mean3229.8547
Median Absolute Deviation (MAD)1650
Skewness-0.075459851
Sum555535
Variance3185615.3
MonotonicityNot monotonic
2025-03-05T22:26:31.234382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4800 60
34.9%
3150 47
27.3%
1350 31
18.0%
450 23
 
13.4%
6300 7
 
4.1%
7800 2
 
1.2%
4444 1
 
0.6%
3141 1
 
0.6%
ValueCountFrequency (%)
450 23
 
13.4%
1350 31
18.0%
3141 1
 
0.6%
3150 47
27.3%
4444 1
 
0.6%
4800 60
34.9%
6300 7
 
4.1%
7800 2
 
1.2%
ValueCountFrequency (%)
7800 2
 
1.2%
6300 7
 
4.1%
4800 60
34.9%
4444 1
 
0.6%
3150 47
27.3%
3141 1
 
0.6%
1350 31
18.0%
450 23
 
13.4%

rp
Categorical

High correlation 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
880
58 
790
47 
585
32 
260
26 
975

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters516
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row880
2nd row790
3rd row790
4th row880
5th row585

Common Values

ValueCountFrequency (%)
880 58
33.7%
790 47
27.3%
585 32
18.6%
260 26
15.1%
975 9
 
5.2%

Length

2025-03-05T22:26:31.295032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-05T22:26:31.338435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
880 58
33.7%
790 47
27.3%
585 32
18.6%
260 26
15.1%
975 9
 
5.2%

Most occurring characters

ValueCountFrequency (%)
8 148
28.7%
0 131
25.4%
5 73
14.1%
7 56
 
10.9%
9 56
 
10.9%
2 26
 
5.0%
6 26
 
5.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8 148
28.7%
0 131
25.4%
5 73
14.1%
7 56
 
10.9%
9 56
 
10.9%
2 26
 
5.0%
6 26
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8 148
28.7%
0 131
25.4%
5 73
14.1%
7 56
 
10.9%
9 56
 
10.9%
2 26
 
5.0%
6 26
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8 148
28.7%
0 131
25.4%
5 73
14.1%
7 56
 
10.9%
9 56
 
10.9%
2 26
 
5.0%
6 26
 
5.0%
Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:31.446738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length133
Median length67
Mean length24.848837
Min length12

Characters and Unicode

Total characters4274
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)98.8%

Sample

1st row{1: 'Deathbringer Stance'}
2nd row{1: 'Essence Theft'}
3rd row{1: "Assassin's Mark"}
4th row{1: 'Dirty Fighting'}
5th row{1: 'Triumphant Roar'}
ValueCountFrequency (%)
1 172
26.2%
2 29
 
4.4%
the 22
 
3.3%
of 19
 
2.9%
3 7
 
1.1%
glorious 5
 
0.8%
evolution 5
 
0.8%
fury 4
 
0.6%
a 4
 
0.6%
death 4
 
0.6%
Other values (317) 386
58.8%
2025-03-05T22:26:31.622139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
485
 
11.3%
' 389
 
9.1%
e 294
 
6.9%
r 213
 
5.0%
: 202
 
4.7%
a 195
 
4.6%
i 182
 
4.3%
{ 172
 
4.0%
1 172
 
4.0%
} 172
 
4.0%
Other values (56) 1798
42.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4274
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
485
 
11.3%
' 389
 
9.1%
e 294
 
6.9%
r 213
 
5.0%
: 202
 
4.7%
a 195
 
4.6%
i 182
 
4.3%
{ 172
 
4.0%
1 172
 
4.0%
} 172
 
4.0%
Other values (56) 1798
42.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4274
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
485
 
11.3%
' 389
 
9.1%
e 294
 
6.9%
r 213
 
5.0%
: 202
 
4.7%
a 195
 
4.6%
i 182
 
4.3%
{ 172
 
4.0%
1 172
 
4.0%
} 172
 
4.0%
Other values (56) 1798
42.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4274
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
485
 
11.3%
' 389
 
9.1%
e 294
 
6.9%
r 213
 
5.0%
: 202
 
4.7%
a 195
 
4.6%
i 182
 
4.3%
{ 172
 
4.0%
1 172
 
4.0%
} 172
 
4.0%
Other values (56) 1798
42.1%

skill_q
Text

Unique 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:31.758374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length111
Median length53
Mean length25.337209
Min length11

Characters and Unicode

Total characters4358
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st row{1: 'The Darkin Blade', 2: 'The Darkin Blade 3'}
2nd row{1: 'Orb of Deception'}
3rd row{1: 'Five Point Strike'}
4th row{1: 'Avengerang'}
5th row{1: 'Pulverize'}
ValueCountFrequency (%)
1 172
25.6%
2 46
 
6.8%
3 15
 
2.2%
of 13
 
1.9%
strike 12
 
1.8%
the 9
 
1.3%
blade 6
 
0.9%
assault 5
 
0.7%
4 4
 
0.6%
binding 4
 
0.6%
Other values (297) 386
57.4%
2025-03-05T22:26:31.975753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500
 
11.5%
' 435
 
10.0%
e 275
 
6.3%
: 223
 
5.1%
a 191
 
4.4%
i 183
 
4.2%
r 175
 
4.0%
{ 172
 
3.9%
1 172
 
3.9%
} 172
 
3.9%
Other values (55) 1860
42.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4358
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
500
 
11.5%
' 435
 
10.0%
e 275
 
6.3%
: 223
 
5.1%
a 191
 
4.4%
i 183
 
4.2%
r 175
 
4.0%
{ 172
 
3.9%
1 172
 
3.9%
} 172
 
3.9%
Other values (55) 1860
42.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4358
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
500
 
11.5%
' 435
 
10.0%
e 275
 
6.3%
: 223
 
5.1%
a 191
 
4.4%
i 183
 
4.2%
r 175
 
4.0%
{ 172
 
3.9%
1 172
 
3.9%
} 172
 
3.9%
Other values (55) 1860
42.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4358
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
500
 
11.5%
' 435
 
10.0%
e 275
 
6.3%
: 223
 
5.1%
a 191
 
4.4%
i 183
 
4.2%
r 175
 
4.0%
{ 172
 
3.9%
1 172
 
3.9%
} 172
 
3.9%
Other values (55) 1860
42.7%
Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:32.110853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length94
Median length51
Mean length23.55814
Min length11

Characters and Unicode

Total characters4052
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)98.8%

Sample

1st row{1: 'Infernal Chains'}
2nd row{1: 'Fox-Fire'}
3rd row{1: 'Twilight Shroud'}
4th row{1: 'Going Rogue'}
5th row{1: 'Headbutt'}
ValueCountFrequency (%)
1 172
27.8%
2 43
 
6.9%
of 13
 
2.1%
shield 5
 
0.8%
void 5
 
0.8%
3 5
 
0.8%
card 4
 
0.6%
blood 3
 
0.5%
blaze 3
 
0.5%
ardent 3
 
0.5%
Other values (299) 363
58.6%
2025-03-05T22:26:32.317417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
447
 
11.0%
' 407
 
10.0%
e 265
 
6.5%
: 212
 
5.2%
a 177
 
4.4%
{ 172
 
4.2%
1 172
 
4.2%
} 172
 
4.2%
r 172
 
4.2%
i 154
 
3.8%
Other values (53) 1702
42.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4052
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
447
 
11.0%
' 407
 
10.0%
e 265
 
6.5%
: 212
 
5.2%
a 177
 
4.4%
{ 172
 
4.2%
1 172
 
4.2%
} 172
 
4.2%
r 172
 
4.2%
i 154
 
3.8%
Other values (53) 1702
42.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4052
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
447
 
11.0%
' 407
 
10.0%
e 265
 
6.5%
: 212
 
5.2%
a 177
 
4.4%
{ 172
 
4.2%
1 172
 
4.2%
} 172
 
4.2%
r 172
 
4.2%
i 154
 
3.8%
Other values (53) 1702
42.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4052
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
447
 
11.0%
' 407
 
10.0%
e 265
 
6.5%
: 212
 
5.2%
a 177
 
4.4%
{ 172
 
4.2%
1 172
 
4.2%
} 172
 
4.2%
r 172
 
4.2%
i 154
 
3.8%
Other values (53) 1702
42.0%

skill_e
Text

Unique 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:32.423790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length84
Median length46
Mean length22.313953
Min length11

Characters and Unicode

Total characters3838
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st row{1: 'Umbral Dash'}
2nd row{1: 'Charm'}
3rd row{1: 'Shuriken Flip'}
4th row{1: 'Heroic Swing'}
5th row{1: 'Trample'}
ValueCountFrequency (%)
1 172
29.5%
2 34
 
5.8%
of 9
 
1.5%
the 6
 
1.0%
flay 5
 
0.9%
charge 5
 
0.9%
3 5
 
0.9%
shadow 5
 
0.9%
force 4
 
0.7%
jousting 4
 
0.7%
Other values (287) 335
57.4%
2025-03-05T22:26:32.613745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
 
10.7%
' 405
 
10.6%
e 224
 
5.8%
: 207
 
5.4%
{ 172
 
4.5%
1 172
 
4.5%
} 172
 
4.5%
a 171
 
4.5%
i 142
 
3.7%
r 137
 
3.6%
Other values (57) 1624
42.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3838
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
412
 
10.7%
' 405
 
10.6%
e 224
 
5.8%
: 207
 
5.4%
{ 172
 
4.5%
1 172
 
4.5%
} 172
 
4.5%
a 171
 
4.5%
i 142
 
3.7%
r 137
 
3.6%
Other values (57) 1624
42.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3838
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
412
 
10.7%
' 405
 
10.6%
e 224
 
5.8%
: 207
 
5.4%
{ 172
 
4.5%
1 172
 
4.5%
} 172
 
4.5%
a 171
 
4.5%
i 142
 
3.7%
r 137
 
3.6%
Other values (57) 1624
42.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3838
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
412
 
10.7%
' 405
 
10.6%
e 224
 
5.8%
: 207
 
5.4%
{ 172
 
4.5%
1 172
 
4.5%
} 172
 
4.5%
a 171
 
4.5%
i 142
 
3.7%
r 137
 
3.6%
Other values (57) 1624
42.3%
Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-03-05T22:26:32.754385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length96
Median length57
Mean length24.697674
Min length11

Characters and Unicode

Total characters4248
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)98.8%

Sample

1st row{1: 'World Ender'}
2nd row{1: 'Spirit Rush'}
3rd row{1: 'Perfect Execution'}
4th row{1: 'Comeuppance'}
5th row{1: 'Unbreakable Will'}
ValueCountFrequency (%)
1 172
26.8%
2 42
 
6.5%
the 21
 
3.3%
of 17
 
2.6%
death 11
 
1.7%
call 6
 
0.9%
3 5
 
0.8%
storm 5
 
0.8%
umbral 4
 
0.6%
trespass 4
 
0.6%
Other values (291) 355
55.3%
2025-03-05T22:26:32.970417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
470
 
11.1%
' 400
 
9.4%
e 254
 
6.0%
a 250
 
5.9%
: 212
 
5.0%
r 177
 
4.2%
1 172
 
4.0%
} 172
 
4.0%
{ 172
 
4.0%
t 147
 
3.5%
Other values (53) 1822
42.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4248
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
470
 
11.1%
' 400
 
9.4%
e 254
 
6.0%
a 250
 
5.9%
: 212
 
5.0%
r 177
 
4.2%
1 172
 
4.0%
} 172
 
4.0%
{ 172
 
4.0%
t 147
 
3.5%
Other values (53) 1822
42.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4248
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
470
 
11.1%
' 400
 
9.4%
e 254
 
6.0%
a 250
 
5.9%
: 212
 
5.0%
r 177
 
4.2%
1 172
 
4.0%
} 172
 
4.0%
{ 172
 
4.0%
t 147
 
3.5%
Other values (53) 1822
42.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4248
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
470
 
11.1%
' 400
 
9.4%
e 254
 
6.0%
a 250
 
5.9%
: 212
 
5.0%
r 177
 
4.2%
1 172
 
4.0%
} 172
 
4.0%
{ 172
 
4.0%
t 147
 
3.5%
Other values (53) 1822
42.9%

skills
Text

Missing 

Distinct170
Distinct (%)100.0%
Missing2
Missing (%)1.2%
Memory size1.5 KiB
2025-03-05T22:26:33.095911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length346
Median length136
Mean length110.68824
Min length77

Characters and Unicode

Total characters18817
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st row{1: 'Deathbringer Stance', 2: 'The Darkin Blade', 3: 'Infernal Chains', 4: 'Umbral Dash', 5: 'World Ender'}
2nd row{1: 'Essence Theft', 2: 'Orb of Deception', 3: 'Fox-Fire', 4: 'Charm', 5: 'Spirit Rush'}
3rd row{1: "Assassin's Mark", 2: 'Five Point Strike', 3: 'Twilight Shroud', 4: 'Shuriken Flip', 5: 'Perfect Execution'}
4th row{1: 'Dirty Fighting', 2: 'Avengerang', 3: 'Going Rogue', 4: 'Heroic Swing', 5: 'Comeuppance'}
5th row{1: 'Triumphant Roar', 2: 'Pulverize', 3: 'Headbutt', 4: 'Trample', 5: 'Unbreakable Will'}
ValueCountFrequency (%)
3 170
 
6.0%
4 170
 
6.0%
2 170
 
6.0%
1 170
 
6.0%
5 170
 
6.0%
of 68
 
2.4%
the 55
 
1.9%
6 50
 
1.8%
7 17
 
0.6%
strike 17
 
0.6%
Other values (1200) 1770
62.6%
2025-03-05T22:26:33.304012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2657
 
14.1%
' 1860
 
9.9%
e 1209
 
6.4%
: 965
 
5.1%
a 877
 
4.7%
r 801
 
4.3%
, 786
 
4.2%
i 748
 
4.0%
o 666
 
3.5%
n 665
 
3.5%
Other values (61) 7583
40.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18817
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2657
 
14.1%
' 1860
 
9.9%
e 1209
 
6.4%
: 965
 
5.1%
a 877
 
4.7%
r 801
 
4.3%
, 786
 
4.2%
i 748
 
4.0%
o 666
 
3.5%
n 665
 
3.5%
Other values (61) 7583
40.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18817
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2657
 
14.1%
' 1860
 
9.9%
e 1209
 
6.4%
: 965
 
5.1%
a 877
 
4.7%
r 801
 
4.3%
, 786
 
4.2%
i 748
 
4.0%
o 666
 
3.5%
n 665
 
3.5%
Other values (61) 7583
40.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18817
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2657
 
14.1%
' 1860
 
9.9%
e 1209
 
6.4%
: 965
 
5.1%
a 877
 
4.7%
r 801
 
4.3%
, 786
 
4.2%
i 748
 
4.0%
o 666
 
3.5%
n 665
 
3.5%
Other values (61) 7583
40.3%

fullname
Text

Missing 

Distinct42
Distinct (%)97.7%
Missing129
Missing (%)75.0%
Memory size1.5 KiB
2025-03-05T22:26:33.518453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length46
Median length20
Mean length14.930233
Min length4

Characters and Unicode

Total characters642
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st rowAkali Jhomen Tethi
2nd rowAmbessa Medarda
3rd rowAnnie Hastur
4th rowOmah Azir
5th rowBard
ValueCountFrequency (%)
and 4
 
3.9%
du 3
 
2.9%
couteau 3
 
2.9%
kled 2
 
2.0%
medarda 2
 
2.0%
skaarl 2
 
2.0%
crownguard 2
 
2.0%
hastur 1
 
1.0%
jhomen 1
 
1.0%
tethi 1
 
1.0%
Other values (81) 81
79.4%
2025-03-05T22:26:33.695322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 80
 
12.5%
59
 
9.2%
e 51
 
7.9%
n 48
 
7.5%
r 40
 
6.2%
i 39
 
6.1%
o 32
 
5.0%
u 25
 
3.9%
l 25
 
3.9%
d 20
 
3.1%
Other values (47) 223
34.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 642
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 80
 
12.5%
59
 
9.2%
e 51
 
7.9%
n 48
 
7.5%
r 40
 
6.2%
i 39
 
6.1%
o 32
 
5.0%
u 25
 
3.9%
l 25
 
3.9%
d 20
 
3.1%
Other values (47) 223
34.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 642
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 80
 
12.5%
59
 
9.2%
e 51
 
7.9%
n 48
 
7.5%
r 40
 
6.2%
i 39
 
6.1%
o 32
 
5.0%
u 25
 
3.9%
l 25
 
3.9%
d 20
 
3.1%
Other values (47) 223
34.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 642
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 80
 
12.5%
59
 
9.2%
e 51
 
7.9%
n 48
 
7.5%
r 40
 
6.2%
i 39
 
6.1%
o 32
 
5.0%
u 25
 
3.9%
l 25
 
3.9%
d 20
 
3.1%
Other values (47) 223
34.7%

nickname
Text

Missing 

Distinct14
Distinct (%)100.0%
Missing158
Missing (%)91.9%
Memory size1.5 KiB
2025-03-05T22:26:33.766291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length32
Median length20.5
Mean length11.142857
Min length1

Characters and Unicode

Total characters156
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st rowGP
2nd rowJ4
3rd rowRhaast, Darkin, Shadow Assassin
4th rowRainbow Scyther
5th rowLB
ValueCountFrequency (%)
darkin 2
 
8.0%
gp 1
 
4.0%
j4 1
 
4.0%
rhaast 1
 
4.0%
shadow 1
 
4.0%
assassin 1
 
4.0%
rainbow 1
 
4.0%
scyther 1
 
4.0%
lb 1
 
4.0%
cute 1
 
4.0%
Other values (14) 14
56.0%
2025-03-05T22:26:33.897773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 19
 
12.2%
r 12
 
7.7%
11
 
7.1%
n 8
 
5.1%
t 8
 
5.1%
o 7
 
4.5%
, 6
 
3.8%
s 6
 
3.8%
i 6
 
3.8%
e 6
 
3.8%
Other values (32) 67
42.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 156
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 19
 
12.2%
r 12
 
7.7%
11
 
7.1%
n 8
 
5.1%
t 8
 
5.1%
o 7
 
4.5%
, 6
 
3.8%
s 6
 
3.8%
i 6
 
3.8%
e 6
 
3.8%
Other values (32) 67
42.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 156
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 19
 
12.2%
r 12
 
7.7%
11
 
7.1%
n 8
 
5.1%
t 8
 
5.1%
o 7
 
4.5%
, 6
 
3.8%
s 6
 
3.8%
i 6
 
3.8%
e 6
 
3.8%
Other values (32) 67
42.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 156
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 19
 
12.2%
r 12
 
7.7%
11
 
7.1%
n 8
 
5.1%
t 8
 
5.1%
o 7
 
4.5%
, 6
 
3.8%
s 6
 
3.8%
i 6
 
3.8%
e 6
 
3.8%
Other values (32) 67
42.9%

Interactions

2025-03-05T22:26:26.987587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:26.712051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:26.852597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:27.037452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:26.759435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:26.893772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:27.090787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:26.803308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-05T22:26:26.937392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-03-05T22:26:33.947626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
adaptivetypealttypebechangesclient_positionscontroldamagedifficultyexternal_positionsherotypeidmobilityrangetyperesourcerolerpstyletoughnessutility
adaptivetype1.0000.6890.0000.0000.5580.3150.2320.0000.5770.6950.0000.2250.3150.1970.6520.0000.7820.1400.161
alttype0.6891.0000.0000.1870.3700.2940.3210.0000.3110.4890.0000.4800.4510.2150.4490.0000.2950.3990.217
be0.0000.0001.0000.1860.0540.0000.0000.3800.0000.0000.5260.2370.0000.1280.2900.965-0.0600.0810.000
changes0.0000.1870.1861.0000.0000.0000.0710.0000.1720.0260.0000.1380.0000.2130.0000.2050.0000.1260.069
client_positions0.5580.3700.0540.0001.0000.2630.5030.1440.7780.5440.0000.3720.5960.0000.4400.0920.2410.3830.221
control0.3150.2940.0000.0000.2631.0000.3290.0000.2970.4450.1680.2270.0000.1000.4840.0000.2590.1960.000
damage0.2320.3210.0000.0710.5030.3291.0000.2240.4980.5770.1980.1880.2710.0500.6120.0000.2900.3970.329
difficulty0.0000.0000.3800.0000.1440.0000.2241.0000.1230.1440.3180.1650.1100.1600.2860.3530.0000.2090.000
external_positions0.5770.3110.0000.1720.7780.2970.4980.1231.0000.5320.0000.3200.5730.0000.3240.0000.2170.3910.215
herotype0.6950.4890.0000.0260.5440.4450.5770.1440.5321.0000.0730.3140.8650.1100.7870.0000.3980.6650.397
id0.0000.0000.5260.0000.0000.1680.1980.3180.0000.0731.0000.2130.0000.0390.3370.373-0.1310.0000.138
mobility0.2250.4800.2370.1380.3720.2270.1880.1650.3200.3140.2131.0000.2440.1920.3460.2300.1740.1620.107
rangetype0.3150.4510.0000.0000.5960.0000.2710.1100.5730.8650.0000.2441.0000.2080.8140.0000.4660.6430.125
resource0.1970.2150.1280.2130.0000.1000.0500.1600.0000.1100.0390.1920.2081.0000.0000.1090.1700.2400.000
role0.6520.4490.2900.0000.4400.4840.6120.2860.3240.7870.3370.3460.8140.0001.0000.1360.3160.6690.259
rp0.0000.0000.9650.2050.0920.0000.0000.3530.0000.0000.3730.2300.0000.1090.1361.0000.0000.1080.000
style0.7820.295-0.0600.0000.2410.2590.2900.0000.2170.398-0.1310.1740.4660.1700.3160.0001.0000.2860.224
toughness0.1400.3990.0810.1260.3830.1960.3970.2090.3910.6650.0000.1620.6430.2400.6690.1080.2861.0000.000
utility0.1610.2170.0000.0690.2210.0000.3290.0000.2150.3970.1380.1070.1250.0000.2590.0000.2240.0001.000

Missing values

2025-03-05T22:26:27.276726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-03-05T22:26:27.414777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-03-05T22:26:27.530046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Unnamed: 0idapinametitledifficultyherotypealttyperesourcestatsrangetypedatepatchchangesroleclient_positionsexternal_positionsdamagetoughnesscontrolmobilityutilitystyleadaptivetypeberpskill_iskill_qskill_wskill_eskill_rskillsfullnamenickname
0Aatrox266.0Aatroxthe Darkin Blade2FighterTankBlood Well{'hp_base': 650, 'hp_lvl': 114, 'mp_base': 0, 'mp_lvl': 0, 'arm_base': 38, 'arm_lvl': 4.8, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 3, 'hp5_lvl': 0.5, 'mp5_base': 0, 'mp5_lvl': 0, 'dam_base': 60, 'dam_lvl': 5, 'as_base': 0.651, 'as_lvl': 2.5, 'range': 175, 'ms': 345, 'acquisition_radius': 475, 'selection_height': 180, 'selection_radius': 135, 'pathing_radius': 35, 'as_ratio': 0.651000022888183, 'attack_cast_time': 0.300000011920928, 'attack_total_time': 1.51999998092651, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 1}, 'urf': {'dmg_dealt': 1.15, 'dmg_taken': 0.7}}Melee2013-06-13V3.8V25.S1.3{'Juggernaut'}{'Top'}{'Top'}3322220Physical4800880{1: 'Deathbringer Stance'}{1: 'The Darkin Blade', 2: 'The Darkin Blade 3'}{1: 'Infernal Chains'}{1: 'Umbral Dash'}{1: 'World Ender'}{1: 'Deathbringer Stance', 2: 'The Darkin Blade', 3: 'Infernal Chains', 4: 'Umbral Dash', 5: 'World Ender'}NaNNaN
1Ahri103.0Ahrithe Nine-Tailed Fox2MageAssassinMana{'hp_base': 590, 'hp_lvl': 104, 'mp_base': 418, 'mp_lvl': 25, 'arm_base': 21, 'arm_lvl': 4.7, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 2.5, 'hp5_lvl': 0.6, 'mp5_base': 8, 'mp5_lvl': 0.8, 'dam_base': 53, 'dam_lvl': 3, 'as_base': 0.668, 'as_lvl': 2.2, 'range': 550, 'ms': 330, 'acquisition_radius': 525, 'selection_height': 135, 'selection_radius': 100, 'pathing_radius': 35, 'as_ratio': 0.625, 'attack_delay_offset': -0.1, 'missile_speed': 1750, 'aram': {'dmg_dealt': 0.97, 'dmg_taken': 1, 'healing': 0.9}, 'urf': {'dmg_dealt': 0.9, 'dmg_taken': 1.05}, 'usb': {'dmg_taken': 0.95}}Ranged2011-12-14V1.0.0.131V25.S1.2{'Burst'}{'Middle'}{'Middle'}31231100Magic3150790{1: 'Essence Theft'}{1: 'Orb of Deception'}{1: 'Fox-Fire'}{1: 'Charm'}{1: 'Spirit Rush'}{1: 'Essence Theft', 2: 'Orb of Deception', 3: 'Fox-Fire', 4: 'Charm', 5: 'Spirit Rush'}NaNNaN
2Akali84.0Akalithe Rogue Assassin2AssassinNaNEnergy{'hp_base': 600, 'hp_lvl': 119, 'mp_base': 200, 'mp_lvl': 0, 'arm_base': 23, 'arm_lvl': 4.7, 'mr_base': 37, 'mr_lvl': 2.05, 'hp5_base': 9, 'hp5_lvl': 0.9, 'mp5_base': 50, 'mp5_lvl': 0, 'dam_base': 62, 'dam_lvl': 3.3, 'as_base': 0.625, 'as_lvl': 3.2, 'range': 125, 'ms': 345, 'acquisition_radius': 400, 'selection_height': 138.88890075683594, 'selection_radius': 100, 'pathing_radius': 30, 'as_ratio': 0.625, 'attack_delay_offset': -0.160999998450279, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 0.9, 'energyregen_mod': 1.2, 'tenacity': 1.2}, 'nb': {'dmg_taken': 0.9, 'ability_haste': 20}, 'ofa': {'dmg_dealt': 1.05, 'dmg_taken': 0.97}, 'urf': {'dmg_taken': 0.9}}Melee2010-05-11V1.0.0.85V14.18{'Assassin'}{'Top', 'Middle'}{'Top', 'Middle'}3113165Physical3150790{1: "Assassin's Mark"}{1: 'Five Point Strike'}{1: 'Twilight Shroud'}{1: 'Shuriken Flip'}{1: 'Perfect Execution'}{1: "Assassin's Mark", 2: 'Five Point Strike', 3: 'Twilight Shroud', 4: 'Shuriken Flip', 5: 'Perfect Execution'}Akali Jhomen TethiNaN
3Akshan166.0Akshanthe Rogue Sentinel3MarksmanAssassinMana{'hp_base': 630, 'hp_lvl': 107, 'mp_base': 350, 'mp_lvl': 40, 'arm_base': 26, 'arm_lvl': 4.7, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 3.75, 'hp5_lvl': 0.65, 'mp5_base': 8.2, 'mp5_lvl': 0.7, 'dam_base': 52, 'dam_lvl': 3, 'as_base': 0.638, 'as_lvl': 4, 'range': 500, 'ms': 330, 'acquisition_radius': 750, 'selection_height': 100, 'selection_radius': 100, 'pathing_radius': 35, 'as_ratio': 0.4, 'attack_delay_offset': -0.1667, 'missile_speed': 2000, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 0.95}, 'urf': {'dmg_dealt': 1.05, 'dmg_taken': 1}}Ranged2021-07-22V11.15V14.22{'Marksman', 'Assassin'}{'Middle'}{'Middle'}311321Physical4800880{1: 'Dirty Fighting'}{1: 'Avengerang'}{1: 'Going Rogue'}{1: 'Heroic Swing'}{1: 'Comeuppance'}{1: 'Dirty Fighting', 2: 'Avengerang', 3: 'Going Rogue', 4: 'Heroic Swing', 5: 'Comeuppance'}NaNNaN
4Alistar12.0Alistarthe Minotaur1TankSupportMana{'hp_base': 685, 'hp_lvl': 120, 'mp_base': 350, 'mp_lvl': 40, 'arm_base': 47, 'arm_lvl': 4.7, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 8.5, 'hp5_lvl': 0.85, 'mp5_base': 8.5, 'mp5_lvl': 0.8, 'dam_base': 62, 'dam_lvl': 3.75, 'as_base': 0.625, 'as_lvl': 2.125, 'range': 125, 'ms': 330, 'acquisition_radius': 600, 'selection_height': 170, 'selection_radius': 140, 'pathing_radius': 50, 'gameplay_radius': 80, 'as_ratio': 0.625, 'aram': {'dmg_dealt': 0.95, 'dmg_taken': 1.05, 'healing': 0.8}, 'ofa': {'dmg_dealt': 1.05, 'dmg_taken': 0.97}, 'usb': {'dmg_dealt': 0.95, 'dmg_taken': 1}, 'urf': {'dmg_dealt': 1, 'dmg_taken': 0.95}}Melee2009-02-21Alpha Week 2V14.16{'Vanguard'}{'Support'}{'Support'}1331265Magic1350585{1: 'Triumphant Roar'}{1: 'Pulverize'}{1: 'Headbutt'}{1: 'Trample'}{1: 'Unbreakable Will'}{1: 'Triumphant Roar', 2: 'Pulverize', 3: 'Headbutt', 4: 'Trample', 5: 'Unbreakable Will'}NaNNaN
5Ambessa799.0AmbessaThe Matriarch of War3FighterAssassinEnergy{'hp_base': 630, 'hp_lvl': 110, 'mp_base': 200, 'mp_lvl': 0, 'arm_base': 35, 'arm_lvl': 4.9, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 8.5, 'hp5_lvl': 0.75, 'mp5_base': 50, 'mp5_lvl': 0, 'dam_base': 63, 'dam_lvl': 3, 'as_base': 0.625, 'as_lvl': 2.5, 'range': 125, 'ms': 335, 'as_ratio': 0.625, 'acquisition_radius': 600, 'selection_height': 100, 'selection_radius': 100, 'pathing_radius': 35, 'attack_cast_time': 0.25, 'attack_total_time': 1.6, 'aram': {'dmg_taken': 1.05}}Melee2024-11-06V14.22V25.S1.3{'Skirmisher', 'Diver'}{'Top'}{'Top'}3213155Physical7800975{1: "Drakehound's Step"}{1: 'Cunning Sweep', 2: 'Sundering Slam'}{1: 'Repudiation'}{1: 'Lacerate'}{1: 'Public Execution'}{1: "Drakehound's Step", 2: 'Cunning Sweep', 3: 'Sundering Slam', 4: 'Repudiation', 5: 'Lacerate', 6: 'Public Execution'}Ambessa MedardaNaN
6Amumu32.0Amumuthe Sad Mummy1TankSupportMana{'hp_base': 685, 'hp_lvl': 94, 'mp_base': 285, 'mp_lvl': 40, 'arm_base': 33, 'arm_lvl': 4, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 9, 'hp5_lvl': 0.85, 'mp5_base': 7.4, 'mp5_lvl': 0.55, 'dam_base': 57, 'dam_lvl': 3.8, 'as_base': 0.736, 'as_lvl': 2.18, 'range': 125, 'ms': 335, 'acquisition_radius': 600, 'selection_height': 130, 'selection_radius': 100, 'pathing_radius': 30, 'gameplay_radius': 55, 'as_ratio': 0.638000011444091, 'attack_delay_offset': -0.0661564618349075, 'aram': {'dmg_taken': 1}, 'ofa': {'dmg_taken': 1.05}, 'urf': {'dmg_dealt': 1.1, 'dmg_taken': 0.9}}Melee2009-06-26June 26, 2009 PatchV14.9{'Vanguard'}{'Jungle'}{'Jungle', 'Support'}2331190Magic450260{1: 'Cursed Touch'}{1: 'Bandage Toss'}{1: 'Despair'}{1: 'Tantrum'}{1: 'Curse of the Sad Mummy'}{1: 'Cursed Touch', 2: 'Bandage Toss', 3: 'Despair', 4: 'Tantrum', 5: 'Curse of the Sad Mummy'}NaNNaN
7Anivia34.0Aniviathe Cryophoenix3MageSupportMana{'hp_base': 550, 'hp_lvl': 92, 'mp_base': 495, 'mp_lvl': 45, 'arm_base': 21, 'arm_lvl': 4.5, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 5.5, 'hp5_lvl': 0.55, 'mp5_base': 8, 'mp5_lvl': 0.8, 'dam_base': 51, 'dam_lvl': 3.2, 'as_base': 0.658, 'as_lvl': 1.68, 'range': 600, 'ms': 325, 'acquisition_radius': 600, 'selection_height': 140, 'selection_radius': 140, 'pathing_radius': 35, 'as_ratio': 0.625, 'attack_delay_offset': -0.1, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 1}, 'urf': {'dmg_dealt': 1.15, 'dmg_taken': 0.92}, 'usb': {'dmg_dealt': 1.1, 'dmg_taken': 0.9}, 'missile_speed': 1600}Ranged2009-07-10July 10, 2009 PatchV14.22{'Battlemage'}{'Middle'}{'Middle'}31312100Magic3150790{1: 'Rebirth'}{1: 'Flash Frost'}{1: 'Crystallize'}{1: 'Frostbite'}{1: 'Glacial Storm'}{1: 'Rebirth', 2: 'Flash Frost', 3: 'Crystallize', 4: 'Frostbite', 5: 'Glacial Storm'}NaNNaN
8Annie1.0Anniethe Dark Child1MageSupportMana{'hp_base': 560, 'hp_lvl': 102, 'mp_base': 418, 'mp_lvl': 25, 'arm_base': 19, 'arm_lvl': 4.7, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 5.5, 'hp5_lvl': 0.55, 'mp5_base': 8, 'mp5_lvl': 0.8, 'dam_base': 50, 'dam_lvl': 2.65, 'as_base': 0.61, 'as_lvl': 1.36, 'range': 625, 'ms': 335, 'acquisition_radius': 625, 'selection_height': 85, 'selection_radius': 100, 'pathing_radius': 30, 'gameplay_radius': 55, 'as_ratio': 0.625, 'attack_delay_offset': -0.10420524328947, 'missile_speed': 1500, 'aram': {'dmg_dealt': 0.95, 'dmg_taken': 1.05, 'shielding': 0.9}, 'urf': {'dmg_dealt': 0.9, 'dmg_taken': 1.05}}Ranged2009-02-21Alpha Week 2V25.S1.1{'Burst'}{'Middle'}{'Middle'}31312100Magic450260{1: 'Pyromania'}{1: 'Disintegrate'}{1: 'Incinerate'}{1: 'Molten Shield'}{1: 'Summon: Tibbers', 2: 'Command: Tibbers'}{1: 'Pyromania', 2: 'Disintegrate', 3: 'Incinerate', 4: 'Molten Shield', 5: 'Summon: Tibbers', 6: 'Command: Tibbers'}Annie HasturNaN
9Aphelios523.0Apheliosthe Weapon of the Faithful3MarksmanNaNMana{'hp_base': 600, 'hp_lvl': 102, 'mp_base': 348, 'mp_lvl': 42, 'arm_base': 26, 'arm_lvl': 4.2, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 3.25, 'hp5_lvl': 0.55, 'mp5_base': 6.5, 'mp5_lvl': 0.4, 'dam_base': 55, 'dam_lvl': 2.3, 'as_base': 0.64, 'as_lvl': 2.1, 'range': 550, 'ms': 325, 'selection_height': 140, 'selection_radius': 110, 'pathing_radius': 35, 'as_ratio': 0.6399999856948853, 'attack_total_time': 1.5, 'attack_cast_time': 0.23000000417232513, 'aram': {'dmg_dealt': 1, 'dmg_taken': 1}, 'urf': {'dmg_dealt': 1.05}, 'ofa': {'dmg_dealt': 1.08}, 'usb': {'dmg_dealt': 0.95}}Ranged2019-12-11V9.24V14.21{'Marksman'}{'Bottom'}{'Bottom'}3121120Physical4800880{1: 'The Hitman and the Seer', 2: 'Calibrum', 3: 'Severum', 4: 'Gravitum', 5: 'Infernum', 6: 'Crescendum'}{1: 'Weapons of the Faithful', 2: 'Moonshot', 3: 'Onslaught', 4: 'Binding Eclipse', 5: 'Duskwave', 6: 'Sentry'}{1: 'Phase'}{1: 'Weapon Queue System'}{1: 'Moonlight Vigil'}{1: 'The Hitman and the Seer', 2: 'Calibrum', 3: 'Severum', 4: 'Gravitum', 5: 'Infernum', 6: 'Crescendum', 7: 'Weapons of the Faithful', 8: 'Moonshot', 9: 'Onslaught', 10: 'Binding Eclipse', 11: 'Duskwave', 12: 'Sentry', 13: 'Phase', 14: 'Weapon Queue System', 15: 'Moonlight Vigil'}NaNNaN
Unnamed: 0idapinametitledifficultyherotypealttyperesourcestatsrangetypedatepatchchangesroleclient_positionsexternal_positionsdamagetoughnesscontrolmobilityutilitystyleadaptivetypeberpskill_iskill_qskill_wskill_eskill_rskillsfullnamenickname
162Yone777.0Yonethe Unforgotten3FighterAssassinFlow{'hp_base': 620, 'hp_lvl': 105, 'mp_base': 500, 'mp_lvl': 0, 'arm_base': 33, 'arm_lvl': 4.6, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 7.5, 'hp5_lvl': 0.75, 'mp5_base': 0, 'mp5_lvl': 0, 'dam_base': 60, 'dam_lvl': 2, 'as_base': 0.625, 'as_lvl': 3.5, 'crit_mod': 0.9, 'range': 175, 'ms': 345, 'acquisition_radius': 400, 'selection_height': 180, 'selection_radius': 120, 'pathing_radius': 32, 'as_ratio': 0.625, 'attack_delay_offset': -0.0799999982118606, 'aram': {'total_as': 1.025, 'dmg_dealt': 1.05, 'dmg_taken': 0.97}, 'ofa': {'dmg_dealt': 0.98}, 'urf': {'dmg_dealt': 1.1, 'dmg_taken': 0.9, 'shielding': 1.2}}Melee2020-08-06V10.16V14.21{'Assassin', 'Skirmisher'}{'Top', 'Middle'}{'Top', 'Middle'}3123145Physical3150790{1: 'Way of the Hunter'}{1: 'Mortal Steel'}{1: 'Spirit Cleave'}{1: 'Soul Unbound'}{1: 'Fate Sealed'}{1: 'Way of the Hunter', 2: 'Mortal Steel', 3: 'Spirit Cleave', 4: 'Soul Unbound', 5: 'Fate Sealed'}NaNNaN
163Yorick83.0YorickShepherd of Souls2FighterTankMana{'hp_base': 650, 'hp_lvl': 114, 'mp_base': 300, 'mp_lvl': 60, 'arm_base': 39, 'arm_lvl': 5.2, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 8, 'hp5_lvl': 0.8, 'mp5_base': 7.5, 'mp5_lvl': 0.75, 'dam_base': 62, 'dam_lvl': 5, 'as_base': 0.625, 'as_lvl': 2, 'range': 175, 'ms': 340, 'acquisition_radius': 400, 'selection_height': 190, 'selection_radius': 125, 'pathing_radius': 50, 'gameplay_radius': 80, 'as_ratio': 0.625, 'attack_cast_time': 0.330000013113021, 'attack_total_time': 1.60000002384185, 'ofa': {'dmg_dealt': 0.9, 'dmg_taken': 1.05}, 'swift': {'arm_base': -4}}Melee2011-06-22V1.0.0.120V25.S1.3{'Juggernaut'}{'Top'}{'Top'}2221255Physical3150790{1: 'Shepherd of Souls'}{1: 'Last Rites', 2: 'Awakening'}{1: 'Dark Procession'}{1: 'Mourning Mist'}{1: 'Eulogy of the Isles'}{1: 'Shepherd of Souls', 2: 'Last Rites', 3: 'Awakening', 4: 'Dark Procession', 5: 'Mourning Mist', 6: 'Eulogy of the Isles'}Yorick MoriNaN
164Yuumi350.0Yuumithe Magical Cat1SupportMageMana{'hp_base': 500, 'hp_lvl': 69, 'mp_base': 440, 'mp_lvl': 45, 'arm_base': 25, 'arm_lvl': 4.2, 'mr_base': 25, 'mr_lvl': 1.1, 'hp5_base': 5, 'hp5_lvl': 0.55, 'mp5_base': 10, 'mp5_lvl': 0.4, 'dam_base': 49, 'dam_lvl': 3.1, 'as_base': 0.625, 'as_lvl': 1, 'missile_speed': 1500, 'range': 425, 'ms': 330, 'acquisition_radius': 475, 'selection_height': 145, 'selection_radius': 100, 'pathing_radius': 30, 'gameplay_radius': 55, 'as_ratio': 0.625, 'attack_cast_time': 0.25, 'attack_total_time': 1.60000002384185, 'aram': {'dmg_dealt': 1.05}, 'ofa': {'dmg_dealt': 1.15, 'dmg_taken': 0.8, 'healing': 1.2, 'shielding': 1.2}, 'urf': {'dmg_dealt': 0.75, 'dmg_taken': 0.9, 'healing': 0.7}, 'usb': {'dmg_dealt': 0.95, 'healing': 0.75, 'shielding': 0.75}}Ranged2019-05-14V9.10V25.S1.2{'Enchanter'}{'Support'}{'Support'}11133100Magic450260{1: 'Feline Friendship'}{1: 'Prowling Projectile'}{1: 'You and Me!'}{1: 'Zoomies'}{1: 'Final Chapter'}{1: 'Feline Friendship', 2: 'Prowling Projectile', 3: 'You and Me!', 4: 'Zoomies', 5: 'Final Chapter'}NaNNaN
165Zac154.0Zacthe Secret Weapon1TankFighterHealth{'hp_base': 685, 'hp_lvl': 109, 'mp_base': 0, 'mp_lvl': 0, 'arm_base': 33, 'arm_lvl': 4.7, 'mr_base': 32, 'mr_lvl': 2.05, 'hp5_base': 5, 'hp5_lvl': 0.5, 'mp5_base': 0, 'mp5_lvl': 0, 'dam_base': 60, 'dam_lvl': 3.4, 'as_base': 0.736, 'as_lvl': 1.6, 'range': 175, 'ms': 340, 'acquisition_radius': 400, 'selection_height': 100, 'selection_radius': 140, 'pathing_radius': 43.0749015808105, 'gameplay_radius': 80, 'as_ratio': 0.638000011444091, 'attack_cast_time': 0.363000005483627, 'attack_total_time': 1.567999958992, 'aram': {'dmg_taken': 0.96, 'healing': 1.1}}Melee2013-03-29V3.5V14.23{'Vanguard'}{'Jungle'}{'Jungle', 'Support', 'Top'}23321100Magic4800880{1: 'Cell Division', 2: 'Cell Division 2'}{1: 'Stretching Strikes'}{1: 'Unstable Matter'}{1: 'Elastic Slingshot'}{1: "Let's Bounce!"}{1: 'Cell Division', 2: 'Stretching Strikes', 3: 'Unstable Matter', 4: 'Elastic Slingshot', 5: "Let's Bounce!"}NaNZaun Amorphous Combatant, Z.A.C.
166Zed238.0Zedthe Master of Shadows3AssassinNaNEnergy{'hp_base': 654, 'hp_lvl': 99, 'mp_base': 200, 'mp_lvl': 0, 'arm_base': 32, 'arm_lvl': 4.7, 'mr_base': 29, 'mr_lvl': 2.05, 'hp5_base': 7, 'hp5_lvl': 0.65, 'mp5_base': 50, 'mp5_lvl': 0, 'dam_base': 63, 'dam_lvl': 3.4, 'as_base': 0.651, 'as_lvl': 3.3, 'range': 125, 'ms': 345, 'acquisition_radius': 400, 'selection_height': 100, 'selection_radius': 100, 'pathing_radius': 35, 'as_ratio': 0.651000022888183, 'attack_delay_offset': -0.102405503392219, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 0.95, 'energyregen_mod': 1.2, 'tenacity': 1.2}, 'urf': {'dmg_dealt': 0.85, 'dmg_taken': 1.1}}Melee2012-11-13V1.0.0.151V14.15{'Assassin'}{'Middle'}{'Jungle', 'Middle'}3113155Physical1350585{1: 'Contempt for the Weak'}{1: 'Razor Shuriken'}{1: 'Living Shadow', 2: 'Living Shadow 2'}{1: 'Shadow Slash'}{1: 'Death Mark', 2: 'Death Mark 2'}{1: 'Contempt for the Weak', 2: 'Razor Shuriken', 3: 'Living Shadow', 4: 'Shadow Slash', 5: 'Death Mark'}NaNKagetora
167Zeri221.0ZeriThe Spark of Zaun2MarksmanNaNMana{'hp_base': 600, 'hp_lvl': 110, 'mp_base': 250, 'mp_lvl': 45, 'arm_base': 24, 'arm_lvl': 4.2, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 3.25, 'hp5_lvl': 0.7, 'mp5_base': 6, 'mp5_lvl': 0.8, 'dam_base': 56, 'dam_lvl': 2, 'as_base': 0.658, 'as_lvl': 2, 'range': 500, 'ms': 330, 'acquisition_radius': 800, 'selection_height': 122.22219848632812, 'selection_radius': 100, 'pathing_radius': 40, 'as_ratio': 0.625, 'attack_delay_offset': -0.14375, 'missile_speed': 0, 'aram': {'dmg_dealt': 1.1, 'dmg_taken': 0.95}}Ranged2022-01-20V12.2V14.18{'Marksman'}{'Bottom'}{'Bottom'}2123035Physical4800880{1: 'Living Battery'}{1: 'Burst Fire'}{1: 'Ultrashock Laser'}{1: 'Spark Surge'}{1: 'Lightning Crash'}{1: 'Living Battery', 2: 'Burst Fire', 3: 'Ultrashock Laser', 4: 'Spark Surge', 5: 'Lightning Crash'}NaNNaN
168Ziggs115.0Ziggsthe Hexplosives Expert2MageNaNMana{'hp_base': 606, 'hp_lvl': 106, 'mp_base': 480, 'mp_lvl': 23.5, 'arm_base': 21, 'arm_lvl': 4.7, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 6.5, 'hp5_lvl': 0.6, 'mp5_base': 8, 'mp5_lvl': 0.8, 'dam_base': 55, 'dam_lvl': 3.1, 'as_base': 0.656, 'as_lvl': 2, 'range': 550, 'ms': 325, 'acquisition_radius': 800, 'selection_height': 110, 'selection_radius': 100, 'pathing_radius': 30, 'gameplay_radius': 55, 'as_ratio': 0.656000018119812, 'attack_delay_offset': -0.1, 'missile_speed': 1500, 'aram': {'dmg_dealt': 0.87, 'dmg_taken': 1.2, 'ability_haste': -20}, 'nb': {'dmg_dealt': 0.95, 'ability_haste': -10}, 'ofa': {'dmg_taken': 0.95}}Ranged2012-02-01V1.0.0.133V14.18{'Artillery'}{'Bottom'}{'Bottom', 'Middle'}3122190Magic4800880{1: 'Short Fuse'}{1: 'Bouncing Bomb'}{1: 'Satchel Charge'}{1: 'Hexplosive Minefield'}{1: 'Mega Inferno Bomb'}{1: 'Short Fuse', 2: 'Bouncing Bomb', 3: 'Satchel Charge', 4: 'Hexplosive Minefield', 5: 'Mega Inferno Bomb'}NaNNaN
169Zilean26.0Zileanthe Chronokeeper2SupportMageMana{'hp_base': 574, 'hp_lvl': 96, 'mp_base': 452, 'mp_lvl': 50, 'arm_base': 24, 'arm_lvl': 5, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 5.5, 'hp5_lvl': 0.5, 'mp5_base': 11.35, 'mp5_lvl': 0.8, 'dam_base': 52, 'dam_lvl': 3, 'as_base': 0.658, 'as_lvl': 2.13, 'range': 550, 'ms': 335, 'acquisition_radius': 550, 'selection_height': 185, 'selection_radius': 135, 'pathing_radius': 35, 'as_ratio': 0.625, 'attack_delay_offset': -0.11999999731779, 'missile_speed': 1500, 'aram': {'dmg_dealt': 1.05, 'dmg_taken': 0.95}, 'ofa': {'dmg_dealt': 1.05, 'dmg_taken': 0.95}, 'urf': {'dmg_dealt': 1.05, 'dmg_taken': 0.9}}Ranged2009-04-18April 18, 2009 PatchV25.S1.2{'Specialist'}{'Support'}{'Support'}21223100Magic1350585{1: 'Time in a Bottle'}{1: 'Time Bomb'}{1: 'Rewind'}{1: 'Time Warp'}{1: 'Chronoshift'}{1: 'Time in a Bottle', 2: 'Time Bomb', 3: 'Rewind', 4: 'Time Warp', 5: 'Chronoshift'}NaNNaN
170Zoe142.0Zoethe Aspect of Twilight3MageSupportMana{'hp_base': 630, 'hp_lvl': 106, 'mp_base': 425, 'mp_lvl': 25, 'arm_base': 21, 'arm_lvl': 4.7, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 7.5, 'hp5_lvl': 0.6, 'mp5_base': 8, 'mp5_lvl': 0.65, 'dam_base': 58, 'dam_lvl': 3.3, 'as_base': 0.658, 'as_lvl': 2.5, 'range': 550, 'ms': 340, 'acquisition_radius': 550, 'selection_height': 145, 'selection_radius': 100, 'pathing_radius': 30, 'gameplay_radius': 55, 'as_ratio': 0.625, 'attack_delay_offset': -0.138541668653488, 'aram': {'dmg_dealt': 1.1, 'dmg_taken': 0.95}, 'ofa': {'dmg_dealt': 1.1, 'dmg_taken': 0.9}}Ranged2017-11-21V7.23V25.S1.2{'Burst'}{'Middle'}{'Middle'}31221100Magic4800880{1: 'More Sparkles!'}{1: 'Paddle Star', 2: 'Paddle Star 2'}{1: 'Spell Thief'}{1: 'Sleepy Trouble Bubble'}{1: 'Portal Jump'}{1: 'More Sparkles!', 2: 'Paddle Star', 3: 'Spell Thief', 4: 'Sleepy Trouble Bubble', 5: 'Portal Jump'}NaNNaN
171Zyra143.0ZyraRise of the Thorns2MageSupportMana{'hp_base': 574, 'hp_lvl': 93, 'mp_base': 418, 'mp_lvl': 25, 'arm_base': 29, 'arm_lvl': 4.2, 'mr_base': 30, 'mr_lvl': 1.3, 'hp5_base': 5.5, 'hp5_lvl': 0.5, 'mp5_base': 7, 'mp5_lvl': 0.8, 'dam_base': 53, 'dam_lvl': 3.2, 'as_base': 0.681, 'as_lvl': 2.11, 'range': 575, 'ms': 340, 'acquisition_radius': 575, 'selection_height': 120, 'selection_radius': 120, 'pathing_radius': 35, 'as_ratio': 0.625, 'attack_delay_offset': -0.154166668653488, 'missile_speed': 1700, 'aram': {'dmg_dealt': 0.9, 'dmg_taken': 1.05, 'ability_haste': -10}, 'nb': {'dmg_dealt': 0.95, 'dmg_taken': 1.08}}Ranged2012-07-24V1.0.0.143V14.24{'Catcher'}{'Support'}{'Support'}31311100Magic3150790{1: 'Garden of Thorns'}{1: 'Deadly Spines'}{1: 'Rampant Growth'}{1: 'Grasping Roots'}{1: 'Stranglethorns'}{1: 'Garden of Thorns', 2: 'Deadly Spines', 3: 'Rampant Growth', 4: 'Grasping Roots', 5: 'Stranglethorns'}NaNNaN